SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

ENSEMBLE RISK ASSESSMENT FOR FLOOD WARNING SYSTEM IN ST. PETERSBURG

Kalyuzhnaya, Anna, Nasonov, Denis

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b31/s12.032View metrics

Publication Impact Profile

PlumX
  • Captures
  • Mendeley - Readers: 11

Publication details

Title
ENSEMBLE RISK ASSESSMENT FOR FLOOD WARNING SYSTEM IN ST. PETERSBURG
Authors
Kalyuzhnaya, Anna, Nasonov, Denis
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-13-1
Language
en
Publication type
Conference Paper
References24
  1. C. Crunch. Disaster Data. A Balanced Perspective, Centre for Research on the Epidemiology and Disasters, Universite Catholique de Louvain, Issue 27, Belgium, 2012.

  2. Marine risk assessment. Offshore technology report 2001/063. Prepared by D.N. Veritas for the Health and Safety Executive, pp 28-48, 2001.

  3. K. Smith, D. N. Petley. Environmental hazards. Assessing risk and reducing disaster. Fifth edition. Taylor and Francis e-Library, pp 50-72, 2008.

  4. National Research Council. Science and Decisions: Advancing Risk Assessment. Washington, DC: National Academies Press, pp 93-127, 2009.

  5. H. Chongfu. Fuzzy risk assessment of urban natural hazards. Fuzzy sets and systems, 83(2), 271-282, 1996.

  6. A.V Boukhanovsky, V.A. Rozhkov. Neva floods with low frequency of occurens . Russian Geographical society journal, Volume 131, №. 3, pp 42-48, 1999. (Published in russian)

  7. H. Apel et al. Flood risk assessment and associated uncertainty. Natural Hazards and Earth System Science, 4(2), pp 295-308, 2004.

  8. F. O. Hoffma, J. S. Hammonds. Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability. Risk Analysis, Vol. 14, No. 5, 1994.

  9. A.V. Boukhanovsky and S.V. Ivanov. Urgent computing for operational storm surge forecasting in Saint-Petersburg. Procedia Computer Science, Vol. 9, pp 1704- 1712, 2012.

  10. K.V. Knyazkov et al. CLAVIRE: e -Science infrastructure for data-driven computing, Journal of Computational Science, vol. 3, No. 6, pp 504-510, 2012.

  11. S. V. Ivanov et al. Simulation-based collaborative decision support for surge floods prevention in St. Petersburg, Journal of Computational Science, Volume 3, Issue , pp 450-455, 2012.

  12. Public resource http://www.infoecogis.ru/flood/FloodMap.aspx

  13. C. Crunch. Disaster Data. A Balanced Perspective, Centre for Research on the Epidemiology and Disasters, Universite Catholique de Louvain, Issue 27, Belgium, 2012.

  14. Marine risk assessment. Offshore technology report 2001/063. Prepared by D.N. Veritas for the Health and Safety Executive, pp 28-48, 2001.

  15. K. Smith, D. N. Petley. Environmental hazards. Assessing risk and reducing disaster. Fifth edition. Taylor and Francis e-Library, pp 50-72, 2008.

  16. National Research Council. Science and Decisions: Advancing Risk Assessment. Washington, DC: National Academies Press, pp 93-127, 2009.

  17. H. Chongfu. Fuzzy risk assessment of urban natural hazards. Fuzzy sets and systems, 83(2), 271-282, 1996.

  18. A.V Boukhanovsky, V.A. Rozhkov. Neva floods with low frequency of occurens . Russian Geographical society journal, Volume 131, №. 3, pp 42-48, 1999. (Published in russian)

  19. H. Apel et al. Flood risk assessment and associated uncertainty. Natural Hazards and Earth System Science, 4(2), pp 295-308, 2004.

  20. F. O. Hoffma, J. S. Hammonds. Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability. Risk Analysis, Vol. 14, No. 5, 1994.

  21. A.V. Boukhanovsky and S.V. Ivanov. Urgent computing for operational storm surge forecasting in Saint-Petersburg. Procedia Computer Science, Vol. 9, pp 1704- 1712, 2012.

  22. K.V. Knyazkov et al. CLAVIRE: e -Science infrastructure for data-driven computing, Journal of Computational Science, vol. 3, No. 6, pp 504-510, 2012.

  23. S. V. Ivanov et al. Simulation-based collaborative decision support for surge floods prevention in St. Petersburg, Journal of Computational Science, Volume 3, Issue , pp 450-455, 2012.

  24. Public resource http://www.infoecogis.ru/flood/FloodMap.aspx

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list